Menu Intelligence Platform
End-to-end pipeline that scrapes restaurant menus at scale, extracts and normalizes products, and exposes them through analytics dashboards and APIs for beverage suppliers.
I build data-intensive systems that ingest messy real-world documents (PDFs, images, HTML), transform them into structured datasets, and power analytics or AI applications. My background combines software engineering, statistics, and cloud infrastructure.
Selected projects
Document Extraction Toolkit
A collection of tools and recipes for turning semi-structured PDFs and HTML pages into reproducible datasets, focused on statistical analysis and reporting.
Newsletter Knowledge Base
Personal research tool that ingests finance newsletters, indexes them semantically, and supports question-answering and entity exploration.
Selected writing
News
2025
- Exploring new approaches for AI-assisted statistical analysis on PDF-derived datasets.
- Prototyped an LLM-centric research assistant for menu and product analytics.
- Started consulting on data scraping and menu intelligence for beverage brands.
2024
- Built a newsletter knowledge base to explore finance narratives and entities.
- Expanded menu ingestion pipeline to handle 100k+ new menus per month.